Ace Nation: A Scalable Web-Based Dynamic Workout & Meal Planner

Author(s)	Mr. Aryan Bhaiya, Mr. Harsh Prajapati, Mr. Rahul Pandey, Prof. Neeraj Neeraj
Country	India
Abstract	Health and fitness apps are essential for many users looking to achieve balance with their health, as many do not provide personalized and adaptive skills/resources. Most if not all health/fitness applications currently on the market offer templates and pre-set ones. This paper presented Ace Nation, an adaptive meal and workout planning system built with Node.js and MongoDB to provide personalized fitness/nutrition with nurse practitioners as needed. Ace Nation had secure signup and authentication, as well as adaptive meal/workout modules, and an Artificial-Intelligence-assisted personalization engine that could automatically adapt based on user input and they achieved in the application. Results from the first evaluation of provisioning Ace Nation suggests improved user engagement and value from a consistency perspective to the user. Ace Nation proposes to be the first step to developing a replicable and expandable system for future iterations to improve user.
Keywords	Workout Planner, Meal Tracking, Node.js, MongoDB, AI Recommendation, Fitness Application
Field	Computer
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-11-15
DOI	https://doi.org/10.71097/IJSAT.v16.i4.8174
Short DOI	https://doi.org/hbbm2q

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International Journal on Science and Technology